Wilkinson, Alex;
(2025)
A Data-Driven Extrapolation Method for the DUNE-PRISM Oscillation Analysis.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment that will make precision measurements of the parameters governing neutrino oscillations. A core objective of DUNE's design is to minimise the impact of neutrino-nucleus interaction uncertainties on these precision measurements. The capability of DUNE's near detector to move transverse to the neutrino beam to sample many distinct off-axis fluxes, known as the Precision Reaction Independent Spectrum Measurement (PRISM), is key to fulfilling this objective. PRISM is used to construct a unique oscillation analysis where near detector data is extrapolated directly to the far detector via linear combination of measurements at different off-axis positions. If constructed carefully, such an oscillation analysis incorporates the near detector constraint with very little reliance on potentially fraught neutrino-nucleus interaction models. This thesis presents a novel method for extrapolating detector effects from the near to the far detector for the PRISM oscillation analysis. Two distinct implementations are developed that use machine learning to map event-level information between the detectors to minimise reliance on simulation of the neutrino-nucleus interaction. Pairs of identical neutrino interactions at the two detectors are generated to permit supervised training. One implementation uses a generative model to map between the reconstructed quantities. The other uses computer vision methods to perform a style-transfer on the detector response. Both implementations are demonstrated to enhance the PRISM oscillation analysis by reducing the impact of systematic uncertainties associated with the interaction model.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | A Data-Driven Extrapolation Method for the DUNE-PRISM Oscillation Analysis |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216214 |
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